Random encoding with a modified Gerchberg-Saxton algorithm for accurate ghost transmission through complex scattering media

Yining Hao; Wen Chen

doi:10.1117/12.3021715

15 February 2024 Random encoding with a modified Gerchberg-Saxton algorithm for accurate ghost transmission through complex scattering media

Yining Hao, Wen Chen

Author Affiliations +

Proceedings Volume 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023); 130690S (2024) https://doi.org/10.1117/12.3021715
Event: International Conference on Optical and Photonic Engineering (icOPEN 2023), 2023, Singapore, Singapore

Abstract

High-fidelity information retrieval through complex scattering media has been a challenge. To address this issue, we present a modified Gerchberg-Saxton (GS) algorithm that generates random amplitude-only patterns to serve as information carriers. The modified GS algorithm imposes a support constraint to a random pattern in the image plane and scales the amplitude of its Fourier spectrum to control the sum of the pattern. Therefore, random patterns generated by the modified GS algorithm are encoded with pixel values of the transmitted data. The patterns are sequentially displayed by a spatial light modulator, and optical wave is recorded by a single-pixel detector. Optical experiments have been conducted to evaluate the method under various conditions, e.g., dynamic and turbid water and non-line-of-sight (NLOS). It is experimentally verified that the method can realize high-fidelity ghost transmission in complex scattering media.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yining Hao and Wen Chen "Random encoding with a modified Gerchberg-Saxton algorithm for accurate ghost transmission through complex scattering media", Proc. SPIE 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023), 130690S (15 February 2024); https://doi.org/10.1117/12.3021715

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available